معرفی
Prof. Dr. Armin Seyfried is a physicist at the University of Wuppertal, leading the Teaching and Research Area of Computer Simulation for Fire Protection and Pedestrian Traffic. His work focuses on modeling pedestrian flow dynamics, particularly in urban transport systems and mass events, aiming to predict and mitigate traffic jams through computational methods.
- Education: Theoretical Physics, University of Wuppertal; Doctorate in Particle Physics.
Research Interests: Seyfried's research bridges traffic jam prediction, crowd behavior analysis, and safety optimization. He investigates how spatial design, social interactions, and external factors (e.g., age, gender, event type) influence pedestrian movement. His work addresses critical challenges in public transport (e.g., Wuppertal Hauptbahnhof) and major events, informed by large-scale experiments like the 1,000-participant Düsseldorf study. Current projects integrate real-time video data into routing systems for Deutsche Bahn and Swiss Federal Railways.
Collaborations: Seyfried partners with Forschungszentrum Jülich for supercomputing resources and sensor technology development. His CroMa project evaluates infrastructure redesign strategies (e.g., waiting area placement, filling indicators) and adapts models to pandemic-related constraints like social distancing.
